Excel-Aware RAG Chatbot

This Streamlit app lets you upload an Excel file (with a 'Data Base' sheet), processes the data into a retrievable vector database, and allows question answering using a RAG pipeline powered by flan-t5-base.

Features

Upload .xlsm or .xlsx files
Automatically cleans and processes the 'Data Base' sheet
Embeds entries using MiniLM embeddings
Uses flan-t5-base for fast CPU-friendly QA
Works on Hugging Face Spaces (L4 hardware)

Run Locally

pip install -r requirements.txt
streamlit run app.py